A Comparison of Artificial Neural Network and Decision Trees with Logistic Regression as Classification Models for Breast Cancer Survival
In the field of medicine, several recent studies have shown the value of Artificial Neural Networks, decision trees, logistic regression are playing a major role as the predictor, and classification methods. The research has been expanded to estimate the incidence of breast, lung, liver, ovarian, ce...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ram Arti Publishers
2020-12-01
|
| Series: | International Journal of Mathematical, Engineering and Management Sciences |
| Subjects: | |
| Online Access: | https://www.ijmems.in/volumes/volume5/number6/89-IJMEMS-20-57-5-6-1170-1190-2020.pdf |
| _version_ | 1819049008269623296 |
|---|---|
| author | Venkateswara Rao Mudunuru Leslaw A. Skrzypek |
| author_facet | Venkateswara Rao Mudunuru Leslaw A. Skrzypek |
| author_sort | Venkateswara Rao Mudunuru |
| collection | DOAJ |
| description | In the field of medicine, several recent studies have shown the value of Artificial Neural Networks, decision trees, logistic regression are playing a major role as the predictor, and classification methods. The research has been expanded to estimate the incidence of breast, lung, liver, ovarian, cervical, bladder and skin cancer. The main aim of this paper is to develop models of logistic regression, Artificial Neural Networks, and Decision trees using the same input and output variables and to compare their success in predicting breast cancer survival in woman. To find the best model for breast cancer survival, the sensitivity and specificity of all these models are measured and evaluated with their respective confidence intervals and the ROC values. |
| first_indexed | 2024-12-21T11:25:19Z |
| format | Article |
| id | doaj.art-91db6f49a8db4c5b8cc12f1eafddb89f |
| institution | Directory Open Access Journal |
| issn | 2455-7749 2455-7749 |
| language | English |
| last_indexed | 2024-12-21T11:25:19Z |
| publishDate | 2020-12-01 |
| publisher | Ram Arti Publishers |
| record_format | Article |
| series | International Journal of Mathematical, Engineering and Management Sciences |
| spelling | doaj.art-91db6f49a8db4c5b8cc12f1eafddb89f2022-12-21T19:05:40ZengRam Arti PublishersInternational Journal of Mathematical, Engineering and Management Sciences2455-77492455-77492020-12-01561170119010.33889/IJMEMS.2020.5.6.089A Comparison of Artificial Neural Network and Decision Trees with Logistic Regression as Classification Models for Breast Cancer SurvivalVenkateswara Rao Mudunuru0Leslaw A. Skrzypek1Department of Mathematics and Statistics, University of South Florida, Tampa, FL, USA.Department of Mathematics and Statistics, University of South Florida, Tampa, FL, USA.In the field of medicine, several recent studies have shown the value of Artificial Neural Networks, decision trees, logistic regression are playing a major role as the predictor, and classification methods. The research has been expanded to estimate the incidence of breast, lung, liver, ovarian, cervical, bladder and skin cancer. The main aim of this paper is to develop models of logistic regression, Artificial Neural Networks, and Decision trees using the same input and output variables and to compare their success in predicting breast cancer survival in woman. To find the best model for breast cancer survival, the sensitivity and specificity of all these models are measured and evaluated with their respective confidence intervals and the ROC values.https://www.ijmems.in/volumes/volume5/number6/89-IJMEMS-20-57-5-6-1170-1190-2020.pdfartificial neural networkslogistic regressionbreast cancerdecision treescancer survival |
| spellingShingle | Venkateswara Rao Mudunuru Leslaw A. Skrzypek A Comparison of Artificial Neural Network and Decision Trees with Logistic Regression as Classification Models for Breast Cancer Survival International Journal of Mathematical, Engineering and Management Sciences artificial neural networks logistic regression breast cancer decision trees cancer survival |
| title | A Comparison of Artificial Neural Network and Decision Trees with Logistic Regression as Classification Models for Breast Cancer Survival |
| title_full | A Comparison of Artificial Neural Network and Decision Trees with Logistic Regression as Classification Models for Breast Cancer Survival |
| title_fullStr | A Comparison of Artificial Neural Network and Decision Trees with Logistic Regression as Classification Models for Breast Cancer Survival |
| title_full_unstemmed | A Comparison of Artificial Neural Network and Decision Trees with Logistic Regression as Classification Models for Breast Cancer Survival |
| title_short | A Comparison of Artificial Neural Network and Decision Trees with Logistic Regression as Classification Models for Breast Cancer Survival |
| title_sort | comparison of artificial neural network and decision trees with logistic regression as classification models for breast cancer survival |
| topic | artificial neural networks logistic regression breast cancer decision trees cancer survival |
| url | https://www.ijmems.in/volumes/volume5/number6/89-IJMEMS-20-57-5-6-1170-1190-2020.pdf |
| work_keys_str_mv | AT venkateswararaomudunuru acomparisonofartificialneuralnetworkanddecisiontreeswithlogisticregressionasclassificationmodelsforbreastcancersurvival AT leslawaskrzypek acomparisonofartificialneuralnetworkanddecisiontreeswithlogisticregressionasclassificationmodelsforbreastcancersurvival AT venkateswararaomudunuru comparisonofartificialneuralnetworkanddecisiontreeswithlogisticregressionasclassificationmodelsforbreastcancersurvival AT leslawaskrzypek comparisonofartificialneuralnetworkanddecisiontreeswithlogisticregressionasclassificationmodelsforbreastcancersurvival |